Listar Artículo en revista de investigación por autor "Sossa Azuela, Juan Humberto"
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A Brief Panorama of Artificial Intelligence in Mexico
Vergara Villegas, Osslan Osiris (2021-09-11)Artificial Intelligence (AI) allows that computer-based systems learn from experience and perform a task similar to how humans would. Currently, Mexico is considered one of the Latin American countries with significant ... -
A Convolutional Neural Network for Handwritten Digit Recognition
Guevara Neri, Maria Cristina (2019-11-15)Technological development in recent years has generated the constant need to digitalize and analyze data, where handwritten digit recognition is a popular problem. This paper focuses on the creation of two handwritten digit ... -
A methodology for character recognition and revision of the linear equations solving procedure
Vergara Villegas, Osslan Osiris (2023-01-01)Linear equations are valuable for real-world modeling phenomena involving at least one variable. However, verifying if the procedure followed by a human for solving a linear equation was done correctly is still a complicated ... -
Artificial Intelligence for Industry 4.0 in Iberoamerica
Vergara Villegas, Osslan Osiris (2021-12-01)Artificial intelligence applied to industry 4.0 will help the Iberoamerican industries to experiment and adopt a digital transformation. In this paper, we present a literature review of the work conducted by Iberoamerican ... -
Comparación de dos métodos para reconocimiento de dígitos manuscritos fuera de línea
Vergara Villegas, Osslan Osiris (2018-04-14)En el presente artículo, se muestra el resultado de la comparación del desempeño de dos métodos para el reconocimiento de dígitos manuscritos fuera de línea. El primer método, es una red de perceptrones con la cual se ... -
Estudio comparativo de algoritmos de súper resolución de una sola imagen basados en aprendizaje profundo
Ochoa Domínguez, Humberto (2020-12-12)El problema de la súper resolución comprende un conjunto de métodos de procesamiento digital de imágenes; su objetivo es incrementar la resolución de las imágenes para mejorar su calidad visual. En años recientes, con el ... -
Study of the Effect of Combining Activation Functions in a Convolutional Neural Network
Vergara Villegas, Osslan Osiris (2020-11-04)Convolutional Neural Networks (CNN’s) have proven to be an effective approach for solving image classification problems. The output, the accuracy and the computational efficiency of a CNN are determined mainly by the ...